From AI cost tracking to AI yield optimization

ATT — Agent Token Tracking — is the practice of measuring per-employee AI tool usage and compute cost automatically. It extends traditional time tracking into the AI era: instead of just tracking human hours, ATT captures which AI agents and tools each person uses, how much time they spend, and what that compute costs per project. Rize pioneered ATT because existing tools only track one side — FinOps tracks tokens without knowing who used them, time trackers track hours without seeing AI usage.

ACO — AI Cost Optimization — is what FinOps tools do: track and reduce the cost of AI API calls, tokens, and licenses. AYO — AI Yield Optimization — is the next step: measuring the productivity return per AI dollar per employee. ACO asks 'how much did we spend?' AYO asks 'what did we get back?' You need ATT data to do AYO — and Rize is the only tool that captures it automatically.

Rize runs in the background and captures every application and website your team accesses — approved or not. When someone uses a personal ChatGPT account, tries a new AI coding tool, or experiments with Midjourney on company time, Rize sees it. Research shows 78% of workers use unapproved AI tools, costing companies $412K per year on average. Rize surfaces this invisible spend without surveys or browser extensions.

FinOps tools track token-level API costs — they tell you how many tokens your engineering team consumed on the Anthropic API. They don't tell you which employee spent 3 hours in Claude working on which client project. Rize captures the human side: who used which AI tool, for how long, on which project. Combined with FinOps token data, you get the full picture — compute cost plus productivity output per person.

Yes. Rize measures total work hours per project before and after AI tool adoption. Anthropic research shows AI can reduce task time by 80%, but other studies find 40% of those savings are lost to rework. Rize tracks both the AI-assisted time and the correction time, so you see the net productivity gain — not just the gross claim from your AI vendor.

Rize tracks every application and website your team accesses, including ChatGPT, Claude, GitHub Copilot, Cursor, Midjourney, DALL-E, Perplexity, Gemini, ElevenLabs, and any other AI tool used via browser or desktop app. If your team opens it, Rize sees it. You can filter reports by AI tools specifically to see adoption rates, usage time per person, and spending patterns across your organization.

Rize captures metadata only — application names, window titles, and URLs. No screenshots, no keylogging, no screen recording. Team members see their own data. Managers see aggregated team-level reports. Data is encrypted in transit and at rest. Rize is built for productivity measurement, not surveillance.